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7/29/2019 Navegacion en Tortugas
1/9
Anim Cogn (2009) 12:779787
DOI 10.1007/s10071-009-0237-9
123
ORIGINAL PAPER
Visual and response-based navigation
in the tortoise (Geochelone carbonaria)
Anna Wilkinson Sacha Coward GeoVrey Hall
Received: 10 November 2008 / Revised: 4 May 2009 / Accepted: 6 May 2009 / Published online: 23 May 2009
Springer-Verlag 2009
Abstract Much research has investigated spatial cogni-
tion in mammals and birds. Evidence suggests that the hip-pocampus plays a critical role in this; however, reptiles do
not possess a hippocampus. It has been proposed that the
reptilian medial cortex plays a similar role, yet little behav-
ioral research has directly investigated this. Consequently,
this study examined the role of extramaze cues in spatial
navigation by the red-footed tortoise (Geochelone carbona-
ria) using an eight-arm radial maze. In Experiment 1 the
maze was surrounded by a black curtain on which geomet-
rical shapes were attached. After the tortoise reached
above-chance performance we introduced test sessions in
which the cues were removed. Performance was unaVected
by cue removal. The tortoise appeared to have developed a
turn-by-one-arm strategy. In a second experiment the
curtain was removed and the tortoise was allowed access to
a rich-cue environment. The use of the turn-by-one-arm
strategy was signiWcantly reduced and the tortoise appeared
to be using the extramaze cues to navigate around the appa-
ratus. This type of response-based strategy, and the speciWc
contexts in which it was used, has not been observed in
mammals and birds, suggesting that the mechanisms served
by the reptilian medial cortex do not parallel exactly those
of the hippocampus.
Keywords Reptile Spatial learning Radial maze
Extramaze cues Response strategy
Introduction
Studies of navigation in mammals and birds have shown
that they are able to use a range of strategies to navigate to a
speciWc goal. These include the use of a single salient cue
(a beacon), path integration, learning a sequence of
responses, and creating a spatial representation of environ-
mental cues (a cognitive map). In the latter case the goal is
deWned by its spatial relation to a number of diVerent land-
marks; this may be seen as highly adaptive as the removal
of any single landmark does not necessarily disrupt naviga-
tion. This behavior is thought to be dependent on the hippo-
campus (OKeefe and Nadel 1978). Evidence that
demonstrates the use of this navigational system has been
found in a variety of mammals and birds (see OKeefe and
Nadel 1978 for a summary), and also, more recently, in Wsh
(for a review see Broglio et al. 2005). As such it is likely
that reptiles also possess a similar system, there is some
evidence to support this (Lpez et al. 2000, 2001, 2003);
however, its existence in this group is much less investi-
gated and the Wndings are not clear cut (Day et al. 1999,
2001).
The study of spatial behavior in reptiles has a long history
(e.g., Tinklepaugh 1932; for a review see Burghardt 1977),
but little is known about the mechanisms underlying their
navigational ability. It is still not clear whether reptiles are
capable of the forms of spatial learning that are seen in
mammals and birds. For example, Holtzman et al. (1999)
found that corn snakes (Elaphe guttata guttata) could rap-
idly learn the position of a hidden goal in an open Weld task.
Their results (though not designed to test the underlying
A. Wilkinson S. Coward G. Hall
Department of Psychology, University of York, York
YO10 5DD, UK
A. Wilkinson (&)
Department of Neurobiology and Cognition, University of Vienna,
Althanstr. 14, 1090 Vienna, Austria
e-mail: [email protected]
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780 Anim Cogn (2009) 12:779787
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mechanisms) suggested that the snakes used a beacon to
navigate to the goal. However, very diVerent results have
been found in lizards. Day et al. (1999) examined the diVer-
ent spatial abilities of two closely related lizard species
whose foraging strategies diVered. They found that neither
species preferentially attended to either distal or local cues
to navigate. The lizards (of both species) rarely approached
the goal directly, suggesting that they found it through trialand error searching. This led the authors to conclude that, if
spatial memory exists in reptiles it is fundamentally diVerent
from that observed in mammals and birds (Day et al. 1999).
Quite diVerent results have been found in the study of
spatial learning in chelonian (turtles, terrapins, and tor-
toises). Lpez et al. (2000) showed that the terrapin (Pseu-
demys scripta) was capable of learning to approach a given
location in a T maze, regardless of the starting position. The
terrapins behavior appeared to be based on extramaze cues
and removal of these (using a curtain to block oV parts of
the experimental room) disrupted performance. The authors
suggested that the terrapins were navigating using a cogni-
tive map of the sort that is postulated in mammals and
birds. Later Wndings revealed a Xexibility in the use of this
strategy. Lpez et al. (2001) required one group of terrapins
to navigate to a speciWc goal solely on the basis of distal
cues; a second group had the same distal cues but also had a
beacon (a large salient cue) that was located close to the
goal. Both groups learned to successfully navigate to the
goal, and probe trials revealed that only the group with just
the distal cues appeared to make use of a cognitive map-
like representation to do so. The beacon group did not use
the distal cues and, instead, used the single beacon to locate
the goal. This pattern of results suggests that reptilian learn-
ing and memory capabilities (in terrapins at least) may
closely parallel those observed in mammals and birds.
Further evidence to support this conclusion comes from
studies of the cerebral basis of spatial navigation in terra-
pins. It has been suggested that the reptilian medial cortex
serves a parallel function to the mammalian hippocampus
(e.g., MacPhail 1982; Lpez et al. 2003). Experiments by
Lpez et al. (2003) revealed that lesions to the medial cor-
tex of terrapins caused a change in performance on an open
Weld task when the animals had to use distal landmarks to
navigate to a single goal. After a number of post-operative
training sessions the lesioned animals were able to learn to
navigate to the correct location, with performance equaling
their pre-operative level (and the level shown by sham-
operated animals). Probe trials revealed that the lesioned
terrapins used a modiWed beacon strategy to locate the goal,
whereas the sham-operated animals used a map-like strat-
egy. These results closely parallel those found in mammals
and birds and further suggest that the medial cortex per-
forms a similar function to the mammalian/avian hippo-
campus.
This set of results suggests that reptiles (or at least terra-
pins) are capable of at least some basic spatial tasks, and
that the medial cortex plays an important role in this. How-
ever, little is known about the limits of their spatial ability.
Previous studies have tested the ability to navigate to one
speciWc area in which the animals were rewarded; however,
a more natural task would examine their ability to remem-
ber numerous places that they have previously visited toensure that they do not return to an area in which a food
source has already been depleted. The classic task for this
test is the radial arm maze.
In a recent investigation, Wilkinson et al. (2007) exam-
ined the ability of a single red-footed tortoise (Geochelone
carbonaria) to navigate in an eight-arm radial maze. The
tortoise showed reliable, above-chance performance, pref-
erentially choosing baited arms rather than returning to
arms previously visited within a trial. Tests ruled out the
use of olfactory cues from either the bait (strawberries), or
from the avoidance of odor trails. This suggests that, in
spite of diVerences in brain structure, the tortoise showed
spatial learning abilities comparable to those observed in
mammals.
The cues that controlled this behavior remain to be deter-
mined. As suggested by Lpez et al. (2000, 2001) for terra-
pins, it is possible that the tortoise is able to identify spatial
locations by the conWguration of visible extramaze cues that
deWne them. But diVerences in the behavioral ecology of ter-
rapins and tortoises suggest that it may be unwise to assume
that the same mechanisms are used by both. Research with
corvids has revealed the importance of behavioral ecology
in spatial navigation (for a review see Balda and Kamil
2006). Very diVerent spatial abilities have been observed in
closely related species, and species that are phylogenetically
disparate but inhabit similar ecological niches have devel-
oped similar (highly specialized) spatial memory systems
(Kamil et al. 1994). The behavioral ecology of the red-
footed tortoise is quite diVerent from that of Lpezs terra-
pins; the former actively forage for fallen fruit and Xowers
(Strong 2005; Strong and Fragoso 2006), whereas the terra-
pin is largely carnivorous whilst young, but as an adult eats
largely plant matter (Hart 1983). Moreover, the habitat
occupied by the two study species is very diVerent. The red-
footed tortoise is terrestrial and lives on the margins of trop-
ical forests (Strong 2005), whereas the terrapin of Lpezs
experiments inhabits areas surrounding freshwater lakes,
rivers, and ponds. These diVerences, in conjunction with the
diVerences found within the reptile group itself makes it
possible that quite diVerent spatial abilities are present in
these closely related species and that the performance of the
tortoise may more closely approximate that of a mammal
inhabiting a similar ecological niche.
In order to resolve this issue, it is necessary to conduct a
study in which the role of extramaze cues in controlling
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navigation in the tortoise can be investigated directly. In
order to do this we returned to the basic procedure used by
Wilkinson et al. (2007) in which the tortoise was trained in
an eight-arm radial maze, but changed the nature of the
cues available. In the previous study the maze was open to
the room. In the present study (Experiment 1) we sur-
rounded the maze with a curtain, but Wxed to this a set of
cues (simple geometrical shapes) that could be manipulatedin a post-acquisition test, to determine the role of extramaze
cues in controlling the animals behavior.
Experiment 1
In this task the animal was initially trained in an eight-arm
radial maze. All arms were baited with food and we
expected, on the basis of previous Wndings (Wilkinson et al.
2007) that the tortoise would learn, in the course of a trial,
to visit each arm just once. In our previous experiment the
maze was open to the room. In this experiment it was sur-
rounded by a curtain to which visual cues were attached.
These cues were removed for the post-acquisition test
phase.
Method
Subject
A single captive-bred, red-footed tortoise (G. carbonaria) par-
ticipated in this study. She (formerly referred to by Wilkinson
et al. 2007 as he) was approximately 4 years old and her plas-
tron (the lower part of the shell) measured 10 cm in length at
the start of the experiment. The tortoise, named Moses, had
previously been the subject of a similar spatial learning exper-
iment (Wilkinson et al. 2007). A single animal was used in
this experiment because it is hard to purchase animals older
than hatchlings in the UK. In the Wrst years of life hatchlings
of this species remain under leaf litter and move about very
little. Moses was purchased by the Wrst author, from a breeder,
when she was young. When not involved in an experimental
session, Moses was kept in a 61 cm 30 cm 30 cm glass
tank in an oYce adjacent to the experimental room. The oYce
was kept on a daily 12L:12D cycle (light on 08:0020:00).
The temperature within the tank was maintained at 29C
(4C); humidity was maintained at 50%. Moses had access
to food (fruit and vegetables) for 60 min each day; this was
given approximately 30 min after the completion of the exper-
imental session.
Apparatus
The apparatus was an eight-arm radial maze made of
opaque black Perspex. Each arm was 18.5 cm long and the
width at the arm entrance was 10 cm, and widened through-
out the arm to reach 25 cm at the end; this allowed the tor-
toise room to turn. The side walls of the maze were 10 cm
high. All arms radiated out of a central octagonal platform,
this measured 25 cm in diameter. During training and
experimental trials white plastic bottle tops (measuring
3 cm in diameter and 1.5 cm high) were placed at the end of
each arm and used as food cups. The lip of the cup pre-vented Moses from seeing whether food was available until
she had fully entered the arm.
The maze was positioned in a small experimental room
that was lit by two 60-W ceiling lights and maintained
approximately 29C by an electric heater in the corner of
the room. A circular black curtain (diameter 84 cm) sur-
rounded the maze. The length of the curtain extended
86 cm above the maze and obscured all visual cues from
the surrounding room. A large circle of card (diameter also
84 cm) was Wtted directly above the curtain; this obscured
possible ceiling cues. The circular card had a central hole
(26 cm diameter) and eight smaller holes (8 cm diameter)
placed at regular intervals around the circumference, which
provided light to the experimental set-up.
To observe Moses movements in the maze, an NDS-27
Panasonic video camera was positioned directly above the
maze (through the central circle in the card). The underside
of the camera (excluding the lens) and beams were covered
by plain brown card to prevent them being used as a cue.
The camera was connected directly to a video screen in the
experimental room; this allowed the experimenter (who
remained in the experimental room throughout the experi-
mental session) to view the tortoises movements without
interfering with the experimental set up.
Four brightly colored shapes were pinned to the curtain to
provide potential cues for navigation. They were positioned
53 cm (measured from the Xoor of the maze to the center of
the stimulus) above the maze and set at 90 intervals around
the circular curtain. Their position on the curtain was at an
equidistant point between two arms. This ensured that no
single cue could be used to detect whether a speciWc arm
had been visited, but a combination of at least two cues was
required. The cues used were a yellow triangle, blue circle,
red square (all 256 cm2), and a green cross (231 cm2).
Procedure
The experiment was run over a period of 8 weeks from July
2007 to September 2007. All trials took place in the after-
noon between 13:00 and 16:00, as this was the time that
Moses was most active. Prior to each experimental session
Moses was removed from her tank and handled for approx-
imately 5 min. This increased her activity level. She was
then placed into a wooden holding cage and transported to
the experimental room.
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Moses was given 3 days of pretraining to ensure that she
moved conWdently around and ate readily in the maze. Each
pretraining session consisted of a single trial lasting 30 min,
in which the tortoise was placed in the maze and allowed to
explore. The tortoise had access to all of the arms through-
out the experiment. On the Wrst day of pretraining, food
(dandelions and strawberries) was scattered throughout the
maze. For the following 2 days food was scattered only inthe eight arms. By the third day Moses readily entered and
ate from all eight arms within the 30 min trial period.
On each of the next 23 days of training, Moses received
four trials separated by an intertrial interval of 5 min that
was spent in the holding cage. Between each trial the maze
was rotated by either 45, 90, or 180 to discourage the
tortoise from using intramaze cues in conjunction with
extramaze cues. During each trial, the experimenter
observed and documented the tortoises behavior via the
video monitor. Entering an arm that had not been entered
previously was scored as a correct response. At the end of
each daily session the maze was wiped clean; it was not
cleaned between trials.
In the Wrst phase of training there were 15 daily sessions.
At the start of each trial Moses was placed in the central
area facing a randomly selected arm. Each food-cup was
baited with a piece of strawberry (approximately 2 mm
wide and 3 mm in length). The experimenter recorded
every arm that Moses entered. She remained in the maze
until she had entered all eight arms or 30 min had elapsed.
An arm choice was recorded when half of the tortoise had
entered the arm (although Moses rarely backed out of an
arm after entering that far). After 7 days of training, there
were no obvious signs of learning which raised the concern
that the position of the cues might be such that they were
not easily visible to the subject. At this point, therefore, the
vertical position of the cues on the curtain was changed.
They were Wxed in a position so that the bottom of each was
in line with the top of the maze wall (and 10 cm above the
level of the maze Xoor). Moses received training with this
arrangement for 8 days.
At this stage a further procedural change was made in
the hope of increasing the rapidity of learning. When train-
ing rats in a radial arm maze it is common practice to
restrict the number of choices allowed on a given trial (e.g.,
Olton and Samuelson 1976). For the next phase of training
we restricted Moses to eight choices per trial, removing her
from the maze at this point (or after 30 min).
After performing consistently above chance in the sec-ond phase of training in the controlled cue environment we
tested the extent to which Moses used the extramaze cues.
She received two test sessions. Each was made up of two
test trials intermixed with two retraining trials. The Wrst and
third trials of each session were the same as in the training
sessions, but in the second and fourth trials the cues were
removed. Moses performance was scored in the same man-
ner as for a training trial. If performance was based on
using any (or all) of the cues we would expect a total dis-
ruption of performance in the test trials.
Results and discussion
For the Wrst 15 sessions of training the subject was allowed
as many choices as were needed to complete the maze
(enter all eight arms). We scored, for each trial, the number
of correct choices in the Wrst eight. (On 14 of the 60 trials of
this phase, the subject did not complete the maze within the
30 min allowed; for these we scored the total number of
correct responses made). Interestingly, performance on the
incomplete trials was rarely less than on equivalent com-
pleted ones. Figure 1a presents the daily mean scores.
According to Olton (1978), the number of correct responses
in the Wrst eight choices to be expected on the basis of
chance, is 5.3. (Chance performance is computed assuming
that every choice is made at random, without replacement).
As the Wgure shows, mean daily scores diVered little from
the chance expectation. The mean number of correct
responses in the Wrst eight over all days of this stage was
5.68; a one-sample t test comparing this score against
chance expectation revealed that it was approaching, but
Fig. 1 a Correct choices in the
Wrst eight trials during training inthe Wrst phase of the controlled
cue environment. b Correct
choices in the Wrst eight trials
during training in the second
phase of the controlled cue
environment
0
1
2
3
4
5
6
7
8
0 2 4 6 8 10 12 14 16
Session
Correctchoicesinthefirsteig
ht
0
1
2
3
4
5
6
7
8
0 1 2 3 4 5 6 7 8
Session
Correctchoicesinthefirsteig
ht
a b
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did not reach a signiWcant diVerence, t14 = 2.05, P = 0.06.
As the Wgure shows, there was no trend toward an improve-
ment over the phase; a separate test of performance over the
last eight trials (for which the mean correct score in the Wrst
eight choices was 5.88) again revealed no diVerence from
chance, t7 = 1.44, P = 0.19.
Figure 1b shows performance over the second phase of
training, in which Moses was allowed only eight choicesper trial. She successfully completed a total of 31 out of 32
possible trials in this phase. As the Wgure shows, perfor-
mance was improved under this training regime. The mean
number of correct choices per trial over all 8 days was
6.34, a score that diVered from chance t7 = 4.72, P = 0.002.
The mean score for the last eight trials was 6.63 which
again diVered from chance expectation t7 = 5.04,
P = 0.002.
Table 1 shows the number of correct choices made on
each trial of the test phase. It is evident that removing the
cues produced no disruption of performance. Moses scored
on average 7.25 (out of 8) on the test trials and 7 on the
intermixed retraining trials. A one-sample t test revealed
that both these measures were signiWcantly above chance
(5.3), t3 = 4.07, P = 0.03 and t3 = 4.16, P = 0.03, respec-
tively. Furthermore, a paired sample test revealed that they
did not diVer signiWcantly from each other t3 = 0.52,
P = 0.64. This indicates that Moses was not using the avail-
able visual cues to navigate the maze.
Examination of the details of her performance within a
given trial revealed that Moses behavior appeared to be
determined by a simple, but highly eVective strategy, that
of turning in a given direction and entering the arm next to
the one she had just left. For each of the trials of the second
phase of training we scored the number of consecutive
choices, after the Wrst that were both in the same direction
as the previous choice and were to an arm that was adjacent
to it. Figure 2 shows these scores (mean values of the four
trials in a day). The Wgure shows that the mean length of
such a run increased dramatically over training; initially,
the tendency to turn into an adjacent arm was rather low,
but by the end of training the animal was regularly showing
runs of four or Wve such turns. Analysis of the training data
(comparing the Wrst four and last four sessions) revealed a
signiWcant increase in the choice of arms that were adjacent
to the arm that had just been left, and were in the same
direction as the previous choice t3 = 5.16, P = 0.01. Further
analyses revealed a signiWcant correlation between the
mean number of correct choices per trial and the use of the
turn-by-one-arm strategy r= 0.58, n = 32, P = 0.001. This
suggests that this behavior did lead to greater success in the
maze. Of the 32 trials in this phase of training, Moses was
as likely to turn in a clockwise direction (61 choices) as in
an anticlockwise direction (45 choices), t30 = 0.73,
P = 0.47.
This response strategy was maintained on the test ses-
sion. For the four test trials with the cues removed, the
mean run-length score was 5.5 and the mean score on the
intermixed training trials was 4.5.
In summary, Moses performed well in the radial arm
maze and scored above chance for the entire second phase
of training when the procedure limited her to eight choices
per trial. This behavior was the result of a simple response-
based strategy. This strategy was independent of the extra-
maze cues as it was maintained during the test in which
these were removed. Interestingly, she did not learn a turn-
right, or turn-left rule; although within a trial she turned
consistently in one direction, the choice of direction varied
between trials. Making a choice that is one arm away from
the previous choice is unusual in rats (Yoerg and Kamil
1982). This is likely to be due to the constraints imposed by
the tight turning circle. These constraints will no doubt
apply to the tortoise as well as the rat (perhaps more so), in
which case, the strategy adopted by Moses by the end of
training was acquired in spite of constraints that would tend
to oppose it.
Table 1 Correct choices for each trial of the cue-use test
There were two test days each containing two retraining and two test
trials. Maximum score was 8
Retraining trials Test trials
7 8
7 6
6 7
8 8
Fig. 2 The number of consecutive one arm turns moving in the same
direction in the second phase of the controlled cue environment and
the test
0
1
2
3
4
5
0 1 2 3 4 5 6 7 8 9 10
Session
Thenumberof
consecutive1arm
turnsinthe
samedirection
Training Test
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In the previous study of Moses maze behavior (Wilkin-
son et al. 2007) we found above-chance performance, but
no indication that this was based on a response strategy.
Exhaustive analysis of response sequences revealed only a
slight tendency to preferentially choose arms that were two
away from that being exited. There was no tendency to
choose adjacent arms. The diVerence between the results of
the two studies must be assumed to lie in some feature ofthe diVering procedures. The most obvious diVerence is that
Wilkinson et al. (2007) gave access to a rich visual environ-
ment (the room). In the present experiment the only extra-
maze cues available were those attached to the curtain
surrounding the maze. Although tortoises have good color
vision and are able to distinguish the colors that were used
as cues (Quaranta 1952) the positioning of the cues with
respect to the maze and to each other, or the overall sparse-
ness of the environment (not only were there were less fea-
tures available, but there was also no geometric information
provided by the room) may have prevented the tortoise
from using these cues successfully. The use of a response-
based strategy may have been dictated by the unavailability
of appropriate extramaze cues.
Experiment 2
The Wndings of Experiment 1 present a stark contrast to
those of our previous experiment (Wilkinson et al. 2007).
We have suggested that the degraded nature of the visual
cues in Experiment 1 may have prevented Moses from
using them to navigate, and that the use of the turn-by-one-
arm strategy was a result of this. If this were the case then it
is possible that, were a full range of extramaze cues made
available, Moses might stop using the response-based strat-
egy and revert to using the extramaze cues to navigate. It is
also possible, of course, that the development of the
response strategy seen in Experiment 1 was the result of the
tortoise having had extended experience in the maze.
In order to distinguish between these possibilities we
conducted a further study in which Moses was trained in a
cue-rich environment that was essentially identical to that
of the previous study in which she exhibited no turn-by-
one-arm strategy (Wilkinson et al. 2007). If the former
hypothesis is correct then we would expect the use of the
turn-by-one-arm strategy to decrease when the tortoise has
access to the full array of cues from the room. However, if
the latter is correct then we would expect no change in
behavior.
Method
This experiment began immediately after completion of the
test phase in Experiment 1. The same subject was used in
this experiment. All housing conditions remained the same.
The fabric curtain was removed from the maze so that
Moses was able to see the entire experimental room
(described below). All other apparatus remained the same.
This set up was almost identical to that used by Wilkinson
et al. (2007). External cues that were, in principle, visible
from inside the maze included shelving upon which labora-
tory equipment was stored, a large poster, the experimenter,and a black door (for exact details please see Wilkinson
et al. 2007). The experimenter could now observe the tor-
toise directly, but continued to make behavioral observa-
tions via the television screen to ensure consistency over
the two experiments. In all other ways, the procedure was
the same as described for the second phase of training for
Experiment 1. Moses received four trials per session. There
were 14 daily sessions of training and Moses completed 53
out of the 56 trials.
Results and discussion
Figure 3 shows the mean number of correct choices per
trial for each training session in the cue rich environment.
It is evident that performance remained above chance
throughout; comparison of the overall mean for each ses-
sion with chance expectation showed a signiWcant diVer-
ence, t13 = 6.64, P < 0.001. But analysis of the detailed
pattern of responding suggests that the basis of the perfor-
mance changed over the course of training. As for Experi-
ment 1 we analyzed, for each trial, the number of
consecutive selections of an adjacent arm in the same
direction of movement. Mean daily scores are shown in
Fig. 4. It is clear that use of the turn-by-one-arm strategy
declined across days; comparing the mean score for the
Wrst four and last four sessions revealed a signiWcant
Fig. 3 Correct choices in the Wrst eight trials in the cue rich training
environment
0
1
2
3
4
5
6
7
8
0 2 4 6 8 10 12 14
Session
Correctchoices
inthefirsteight
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diVerence, t3 = 7.13, P = 0.006. Further analysis revealed
that in the Wrst four sessions accuracy correlated with the
use of the turn-by-one-arm strategy r= 0.63, n = 16,
P = 0.009; however, in the last four sessions when use of
this strategy was reduced to chance levels, success no
longer signiWcantly correlated with strategy use r= 0.33,
n = 16, P = 0.22. In fact, by the Wnal session of training
the animals mean run length for turns into the adjacent
arm was just 0.75; nonetheless, overall navigational accu-
racy remained above chance.
This change in performance indicates that the response-
based strategy developed in Experiment 1 was a conse-
quence of the particular cue environment used in that study;
when the full set of extramaze cues was made available the
animal reverted to behavior like that previously seen in the
study by Wilkinson et al. (2007). It is not clear what ele-
ments of the visual environment are relevant to the change
in behavior. It is possible that the turn-by-one-arm strategy
was a response to the general poverty of the visual features
within the environment; however, the introduction of the
curtain also resulted in a change in the geometric informa-
tion available. Geometric information has been shown to be
a powerful environmental cue for animal spatial navigation
(e.g., Cheng 1986, for a recent review see Cheng 2008).
This experiment cannot clarify which environmental cues
contributed to the tortoises change in behavior; however,
what is clear is the intriguing Xexibility of behavior dis-
played by the tortoise. Navigation on the basis of the visual
environment appears to be in some sense the preferred
option; but when appropriate visual cues are not available,
the animal adopts a simple and eVective response-based
strategy. When visual cues are made available this strategy
is abandoned.
General discussion
Wilkinson et al. (2007) demonstrated eYcient radial maze
performance in a tortoise. There was no evidence of a
response-based strategy; rather the behavior appeared to be
controlled by extramaze cues, paralleling that shown by rats
in the same situation. The original aim of the present study
was to examine directly the role of extramaze cues by train-ing the tortoise in an apparatus with a restricted range of
cues that could be manipulated by the experimenter. This
aim could not be fulWlled as, when trained in an impover-
ished cue environment in Experiment 1, Moses learned to
use a simple but eYcient strategy to navigate through the
mazeto turn consistently in one direction, selecting the
arm adjacent to the one that she had just left. In Experiment
2, when the curtain was removed and the cue environment
was comparatively rich (both in terms of features and the
geometric information available), the use of the turn-by-
one-arm strategy signiWcantly decreased. Accurate perfor-
mance was nonetheless maintained. This suggests the
presence of two navigational processes in the tortoise. The
use of visual cues appears to be a default behavior which is
used if it is possible for the tortoise to do so. The second is
a response-based strategy that allowed the tortoise to navi-
gate the maze in a highly successful manner. It seems that
by surrounding the maze with a curtain and presenting only
four distal visual cues in Experiment 1, the amount of
visual information available was reduced to a level that pre-
vented the tortoise from using the extramaze cues to navi-
gate.
This pattern of behavior is quite diVerent from that
shown by rats in a similar situation. Rats in a cue-impover-
ished environment (e.g., Mazmanian and Roberts 1983) and
even blinded rats (e.g., Zoladek and Roberts 1978) do not
normally exhibit such response-based behavior. An excep-
tion is found in studies by Einon (1980) and Roberts and
Dale (1981); both experiments observed response-based
strategies in a cue-rich environment, and neither saw the
dramatic changes in the behavior that were observed in our
tortoise. However, in the latter experiment (Roberts and
Dale 1981) the eVects of proactive interference between tri-
als reduced over time, suggesting an improvement in the
use of the response-based strategy. Einon (1980) systemati-
cally examined the cause of the response-based behavior
and found that it was only present in immature rats. This
prompts the hypothesis that the strategy observed in the
maze may be related to changes in foraging behavior over
the life cycle. The nutritional requirements of immature rats
(those required for growth) are quite diVerent from what is
needed to maintain health at maturity (Clarke 1980). The
diet of wild-living rats (Rattus rattus), reXects this and
because of natural variation in the distributions of food
types, wild foraging behavior does change with age (Clarke
Fig. 4 The number of consecutive one arm turns moving in the same
direction in the cue rich environment
0
1
2
3
4
5
0 2 4 6 8 10 12 14
Session
Thenumberof
consecutive1arm
turnsinthe
samedirection
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1980). But whatever is true of rats in this sort of analysis
cannot account for our Wndings in the tortoise. Moses
search behavior changed because of cue availability (or her
ability to use the cues that were available); it was not a
result of changes in her development, suggesting that the
processes involved in her search behavior diVer from those
observed in rats (and other mammals).
This response-based navigational behavior has also beenobserved in Wsh (Roitblat et al. 1982; Hughes and Blight
1999). Like the rat studies (Einon 1980; Roberts and Dale
1981), the former study did not take place under limited cue
conditions. However, the latter study tested Wsh in both a
cue-rich and cue-impoverished environment. The aim was to
directly test the role of behavioral ecology in spatial search
behavior. The authors used two species ofWsh (Spinachia
spinachia and Crenilabrus melops) that inhabit highly struc-
tured tidal zones in which visual cues are provided by rocks
and weeds. However, rough weather frequently results in
these features being obscured. Thus the authors predicted
that the Wsh would be able to use both response-based and
spatial cue-based navigational strategies.
Their experiment goes some way to supporting our data.
They found that in a cue-rich environment the Wsh were
able to use cues to navigate; however, in the impoverished
cue environment the Wsh used a response-based strategy.
Interestingly, both species were signiWcantly less good in
the non-cue than in the cue condition; this is quite diVerent
from Moses behavior. Furthermore, their experiment was
run between subjects, so it is not possible to know whether
the Wsh would change from a successful response-based
strategy to a cue-based strategy with a change in the cue
environment. The authors interpreted their results as being
due to the behavioral ecology of the two species that were
tested (both lived in tidal zones). However, to our knowl-
edge these speciWc tests have not been given to non-tidal
species ofWsh, thus, it is possible that this behavior is com-
mon to all Wsh (and maybe reptiles).
The small amount of literature available on spatial
behavior in reptiles does not provide any previous observa-
tions of the animals using a response-based strategy to nav-
igate. Such evidence as there is for the use of multiple
memory strategies in chelonian comes from the study of
Lpez et al. (2001) who found that terrapins were able to
use both a salient (beacon) cue and a map-like representa-
tion to navigate to a single goal. The animals in this set of
experiments, however, were tested in a between-subjects
design, which did not allow examination of the possibility
of changes between these strategies in a single animal. In
contrast, in our Experiment 2 we found that Moses showed
a change of navigational strategy according to environmen-
tal circumstances. It is interesting that she did not need to
change her behavior to successfully navigate the maze in
the cue rich environment; continuing with the turn-by-one-
arm strategy would have maintained a high level of perfor-
mance. The only comparable example of such Xexibility
can be seen in the lesioned terrapins of Lpez et al. (2003)
that had to re-learn to navigate to a goal post-operatively.
The lesions appeared to prevent them from using the map-
like representation that was observed in the training phase
(and in the sham-operated animals), and thus they were
forced to learn a beacon-type strategy to reach the goal. It isunclear, however, why the changes in Moses navigational
behavior occurred. Our results suggest that the use of visual
cues is a default strategy that will be overruled when eVec-
tive visual cues are not available. It is not clear whether the
same is true of the Wsh tested by Hughes and Blight (1999);
however, there is a clear similarity in behavior between
their Wsh and our tortoise.
In sum, these Wndings suggest the presence of two pro-
cesses that can control navigation in our tortoise. One
appears to be based on visual cues. It is apparently similar
to the cognitive-map mechanism employed by rats; but our
attempt to investigate this directly in Experiment 1 was
thwarted by the animals use of a diVerent mechanism. This
second mechanism involves a simple response-based strat-
egy of a sort not usually observed in mammals, but appears
to be present in at least some Wsh. This pattern ofWndings
suggest that when tortoises (or at least this tortoise) navi-
gate in a situation with poor environmental cues they use a
simple, but eYcient response-based strategy; but when
more cues are available they switch away from this, and
apparently navigate using the surrounding visual cues. This
behavioral Xexibility may reXect the behavioral ecology of
the speciWc species tested, or it may be true of chelonia and
possibly reptiles and Wsh in general.
Acknowledgment The participation of Sacha Coward was made
possible by a bursary from the UK Experimental Psychology Society.
The authors would like to thank Paul McLaughlin and Simon Fletcher
for making the maze. We are also indebted to the Behavioural Neuro-
science Research Group at the University of York and the Biology of
Cognition Research Group at the University of Vienna for their helpful
comments.
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